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Code for the "Sequence Embeddings Help Detect Insurance Fraud" paper

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Demonstrative data

id amount age sex ins_type speciality treatments types target
0 ID_221227 2.68 44.609818 1 1 1 ['A_852'] ['AA_13'] 0
1 ID_188617 67.70 58.471695 1 1 1 ['A_645', 'A_2030', 'A_1978'] ['AA_2', 'AA_7', 'AA_2'] 0
2 ID_184107 21.44 48.003800 1 1 1 ['A_1656', 'A_1'] ['AA_2', 'AA_2'] 0
3 ID_327112 26.80 60.127670 0 1 1 ['A_1', 'A_348', 'A_1656'] ['AA_2', 'AA_12', 'AA_2'] 0

demanstrative_data.csv file - example of an used data

Meaning of the columns:

  • id - patient id
  • amount - the total billable amount
  • age - patient age
  • sex - patient sex
  • ins_type - insurance type
  • speciality - doctor specialty
  • treatments - a sequence of treatments encoded with anonymized IDs
  • types - corresponding types of treatments
  • target - label ("fraudulent" coded as 1 and "non-fraudulent" coded as 0)

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Code for the "Sequence Embeddings Help Detect Insurance Fraud" paper

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